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Minimal README
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README.md
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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# π¨ Stable Diffusion Image Generator
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Generate stunning AI art from text descriptions using Stable Diffusion 2.1!
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## π Features
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- π¬ **Text-to-Image**: Create images from detailed descriptions
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- π¨ **Customizable**: Control size, quality, and style
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- π² **Reproducible**: Use seeds for consistent results
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- β‘ **Multiple Schedulers**: DPM++ 2M and Euler Ancestral
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- πΌοΈ **Batch Generation**: Create multiple variations at once
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## π― How to Use
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1. **Write a Prompt**: Describe the image you want in detail
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2. **Add Negative Prompt**: Specify what to avoid
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3. **Adjust Settings**: Size, steps, guidance scale
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4. **Generate**: Click the button and wait
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5. **Download**: Save your AI-generated artwork!
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## π‘ Prompt Tips
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### Good Prompt Structure
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`[Subject] + [Style] + [Lighting] + [Details] + [Quality]`
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### Examples
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- "a serene japanese garden, cherry blossoms, koi pond, soft lighting, 4k"
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- "portrait of a cyberpunk character, neon lights, detailed, digital art"
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- "fantasy landscape with mountains, dramatic sunset, epic, highly detailed"
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### Style Keywords
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- photorealistic, digital art, oil painting, watercolor, anime
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- cinematic, ethereal, vibrant, dramatic, soft
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### Quality Modifiers
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- highly detailed, 4k, 8k, sharp focus, intricate
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- trending on artstation, masterpiece
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## π§ Settings Guide
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| Parameter | Range | Recommended | Effect |
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|-----------|-------|-------------|--------|
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| **Steps** | 10-50 | 20-30 | Quality (more = better but slower) |
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| **Guidance** | 1-20 | 7-10 | Prompt adherence |
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| **Size** | 256-1024 | 512x512 | Image resolution |
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| **Seed** | Any number | -1 (random) | Reproducibility |
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## π Performance
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| Hardware | Resolution | Steps | Time |
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|----------|-----------|-------|------|
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| CPU Free | 512x512 | 20 | ~3-5 min |
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| T4 GPU | 512x512 | 25 | ~15-20 sec |
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| T4 GPU | 768x768 | 30 | ~30-40 sec |
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## π¨ Model Info
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- **Base**: Stable Diffusion 2.1
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- **Resolution**: Optimized for 768px
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- **Training**: LAION-5B dataset
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- **License**: CreativeML Open RAIL++-M
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## π Resources
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- [Stable Diffusion Paper](https://arxiv.org/abs/2112.10752)
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- [Model Card](https://huggingface.co/stabilityai/stable-diffusion-2-1)
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- [Diffusers Docs](https://huggingface.co/docs/diffusers)
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---
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**Made with β€οΈ using HuggingFace Diffusers**
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app_file: app.py
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pinned: false
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license: apache-2.0
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